Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Devdiscourse

Can a universal bankruptcy model adapt to economic ups and downs? New evidence says it might

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the ...
Electronics For You

Build Large Language Models Using Open Source Software

Large language models are machine learning models designed for a range of language-related tasks such as text generation and ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
IEEE

Evaluation Metrics and Methods for Generative Models in the Wireless PHY Layer

Abstract: Generative models are typically evaluated by direct inspection of their generated samples, e.g., by visual inspection in the case of images. Further evaluation metrics like the Fréchet ...
GitHub

Add model evaluation metrics (e.g., RMSE, MAE) to the House Price Prediction project

The current implementation of the House Price Prediction model trains a linear regression model and outputs predictions to predictions.csv. However, the project does not include any evaluation metrics ...
GitHub

Regression analysis of Auto MPG dataset with multiple models, evaluation metrics, and results export.

The average value of displacement in the training sample: 196.745 The average value of displacement in the test sample: 188.996 The average value of horsepower in the training sample: 104.883 The ...
IEEE

Beyond RMSE and MAE: Introducing EAUC to Unmask Hidden Bias and Unfairness in Dyadic Regression Models

Abstract: Dyadic regression models, which output real-valued predictions for pairs of entities, are fundamental in many domains [e.g., obtaining user-product ratings in recommender systems (RSs)] and ...
Frontiers

A deep-learning approach to predict reproductive toxicity of chemicals using communicative message passing neural network

Reproductive toxicity is a concern critical to human health and chemical safety assessment. Recently, the U.S. Food and Drug Administration announced plans to assess toxicity with artificial ...
Scientific Research Publishing

Naidu, G., Zuva, T. and Sibanda, E.M. (2023) A Review of Evaluation Metrics in Machine Learning Algorithms. In: Silhavy, R. and Silhavy, P., Eds., Artificial Intelligence ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...